Transform raw credit data into actionable risk insights. Make better lending decisions, optimize your loan portfolio, and increase profitability while reducing risk exposure.
Loan Application #1284
Loan Application #1285
Addressing critical challenges for financial institutions
Accurately predicts loan default risk to reduce financial losses and improve portfolio performance.
Automates credit risk evaluation for faster, consistent decisions across your lending operations.
Prioritizes loan applications with higher probability of repayment to optimize your capital allocation.
Reveals combinations of factors that contribute to defaults, enabling proactive risk management strategies.
Enables precise interest rate setting based on individual risk profiles, maximizing returns while maintaining competitiveness.
Quick reference guide for platform operations
cd backend # Navigate to backend directory
python -m venv venv # Create virtual environment
source venv/bin/activate # Activate virtual environment (Mac/Linux)
pip install -r requirements.txt # Install dependencies
python setup_db.py # Initialize database (direct script)
# Flask CLI commands (after export FLASK_APP=app.py)
flask init-db # Initialize database
flask data-summary # View summary of data in database
flask etl-pipeline # Run full ETL pipeline
flask load-data # Load data from CSV to database
flask train-model # Train the ML model
flask run # Run development server
# OR
python app.py # Run directly with Python
Available endpoints for platform integration
| Endpoint | Method | Description |
|---|---|---|
/admin |
GET | Admin dashboard interface |
/ |
GET | Redirects to admin dashboard |
/api/health |
GET | API health check endpoint |
/api/data/summary |
GET | Get summary statistics of credit risk data |
/api/data |
GET | Get paginated credit risk data with optional filtering |
/api/ml/predict |
POST | Make credit risk prediction with loan applicant data |
http://localhost:5000/admin
http://localhost:5000/api/data
http://localhost:3000
app.py
Main Flask application
models/credit_risk.py
Database models
etl/
Data processing pipeline
ml/
Machine learning components
templates/admin.html
Admin interface
commands.py
CLI commands
This comprehensive platform transforms raw credit data into actionable risk insights, helping financial institutions make better lending decisions, optimize their loan portfolios, and increase profitability while reducing risk exposure.
ML-powered default prediction
Comprehensive risk assessment
Instant decision support